A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges

27 May 2021

Papers citing "A Survey on Interactive Reinforcement Learning: Design Principles and Open Challenges"

38 / 38 papers shown

Title
A Comprehensive Survey of Reward Models: Taxonomy, Applications, Challenges, and Future Jialun Zhong Wei Shen Yanzeng Li Songyang Gao Hua Lu Yicheng Chen Yang Zhang Wei Zhou Jinjie Gu Lei Zou LRM 45 2 0 12 Apr 2025
Adaptive User Interface Generation Through Reinforcement Learning: A Data-Driven Approach to Personalization and Optimization Qi Sun Yayun Xue Zhijun Song 86 2 0 22 Dec 2024
Online Behavior Modification for Expressive User Control of RL-Trained Robots Isaac S. Sheidlower Mavis Murdock Emma Bethel Reuben M. Aronson E. Short OffRL 37 3 0 15 Aug 2024
Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach Isaac S. Sheidlower Reuben M. Aronson E. Short 36 0 0 10 Jul 2024
How Much Progress Did I Make? An Unexplored Human Feedback Signal for Teaching Robots Hang Yu Qidi Fang Shijie Fang Reuben M. Aronson E. Short 25 0 0 08 Jul 2024
Medical Knowledge Integration into Reinforcement Learning Algorithms for Dynamic Treatment Regimes Sophia Yazzourh Nicolas Savy Philippe Saint-Pierre Michael R. Kosorok OffRL 34 1 0 29 Jun 2024
MEReQ: Max-Ent Residual-Q Inverse RL for Sample-Efficient Alignment from Intervention Yuxin Chen Chen Tang Chenran Li Ran Tian Peter Stone Masayoshi Tomizuka Wei Zhan 23 1 0 24 Jun 2024
Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies Isaac S. Sheidlower Emma Bethel Douglas Lilly Reuben M. Aronson E. Short 34 0 0 19 Jun 2024
TRANSIC: Sim-to-Real Policy Transfer by Learning from Online Correction Yunfan Jiang Chen Wang Ruohan Zhang Jiajun Wu Fei-Fei Li OnRL 37 26 0 16 May 2024
A Design Trajectory Map of Human-AI Collaborative Reinforcement Learning Systems: Survey and Taxonomy Zhaoxing Li 30 2 0 16 May 2024
The Power of Combined Modalities in Interactive Robot Learning Helen Beierling Anna-Lisa Vollmer 21 0 0 13 May 2024
Integrating Human Expertise in Continuous Spaces: A Novel Interactive Bayesian Optimization Framework with Preference Expected Improvement Nikolaus Feith Elmar Rueckert 22 1 0 23 Jan 2024
Modifying RL Policies with Imagined Actions: How Predictable Policies Can Enable Users to Perform Novel Tasks Isaac S. Sheidlower Reuben M. Aronson E. Short OffRL 63 1 0 10 Dec 2023
From "Thumbs Up" to "10 out of 10": Reconsidering Scalar Feedback in Interactive Reinforcement Learning Hang Yu Reuben M. Aronson Katherine H. Allen E. Short 42 3 0 17 Nov 2023
RLHF-Blender: A Configurable Interactive Interface for Learning from Diverse Human Feedback Yannick Metz David Lindner Raphael Baur Daniel A. Keim Mennatallah El-Assady AI4CE 34 10 0 08 Aug 2023
Teach Me How to Learn: A Perspective Review towards User-centered Neuro-symbolic Learning for Robotic Surgical Systems Amr Gomaa Bilal Mahdy Niko Kleer Michael Feld Frank Kirchner Antonio Krüger 40 5 0 07 Jul 2023
Establishing Shared Query Understanding in an Open Multi-Agent System Nikolaos Kondylidis Ilaria Tiddi A. T. Teije 11 1 0 16 May 2023
A Human-Centered Safe Robot Reinforcement Learning Framework with Interactive Behaviors Shangding Gu Alap Kshirsagar Yali Du Guang Chen Jan Peters Alois C. Knoll 34 14 0 25 Feb 2023
ASQ-IT: Interactive Explanations for Reinforcement-Learning Agents Yotam Amitai Guy Avni Ofra Amir 43 3 0 24 Jan 2023
Robot Learning on the Job: Human-in-the-Loop Autonomy and Learning During Deployment Huihan Liu Soroush Nasiriany Lance Zhang Zhiyao Bao Yuke Zhu 38 56 0 15 Nov 2022
Redefining Counterfactual Explanations for Reinforcement Learning: Overview, Challenges and Opportunities Jasmina Gajcin Ivana Dusparic CML OffRL 35 8 0 21 Oct 2022
When to Ask for Help: Proactive Interventions in Autonomous Reinforcement Learning Annie Xie Fahim Tajwar Archit Sharma Chelsea Finn 45 14 0 19 Oct 2022
Broad-persistent Advice for Interactive Reinforcement Learning Scenarios Francisco Cruz Adam Bignold H. Nguyen Richard Dazeley Peter Vamplew OffRL 16 0 0 11 Oct 2022
Incorporating Rivalry in Reinforcement Learning for a Competitive Game Pablo V. A. Barros Ö. Yalçın Ana Tanevska A. Sciutti 22 4 0 22 Aug 2022
Quantifying the Effect of Feedback Frequency in Interactive Reinforcement Learning for Robotic Tasks Daniel Harnack Julie Pivin-Bachler Nicolás Navarro-Guerrero 16 3 0 20 Jul 2022
Good Time to Ask: A Learning Framework for Asking for Help in Embodied Visual Navigation Jenny Zhang Samson Yu Jiafei Duan Cheston Tan 33 4 0 20 Jun 2022
Teachable Reinforcement Learning via Advice Distillation Olivia Watkins Trevor Darrell Pieter Abbeel Jacob Andreas Abhishek Gupta OffRL 14 3 0 19 Mar 2022
Reinforcement Learning in Practice: Opportunities and Challenges Yuxi Li OffRL 36 9 0 23 Feb 2022
Interpretable Preference-based Reinforcement Learning with Tree-Structured Reward Functions Tom Bewley Freddy Lecue OffRL 21 11 0 20 Dec 2021
Towards Interactive Reinforcement Learning with Intrinsic Feedback Ben Poole Minwoo Lee OffRL 19 2 0 02 Dec 2021
Targeted Data Acquisition for Evolving Negotiation Agents Minae Kwon Siddharth Karamcheti Mariano-Florentino Cuéllar Dorsa Sadigh 52 6 0 14 Jun 2021
MarioMix: Creating Aligned Playstyles for Bots with Interactive Reinforcement Learning Christian Arzate Cruz Takeo Igarashi SyDa 16 2 0 27 May 2021
Interactive Explanations: Diagnosis and Repair of Reinforcement Learning Based Agent Behaviors Christian Arzate Cruz Takeo Igarashi 24 7 0 27 May 2021
Using Cognitive Models to Train Warm Start Reinforcement Learning Agents for Human-Computer Interactions Chao Zhang Shihan Wang H. Aarts Mehdi Dastani OffRL HAI AI4CE 24 8 0 10 Mar 2021
Persistent Rule-based Interactive Reinforcement Learning Adam Bignold Francisco Cruz Richard Dazeley Peter Vamplew Cameron Foale 14 22 0 04 Feb 2021
Human Engagement Providing Evaluative and Informative Advice for Interactive Reinforcement Learning Adam Bignold Francisco Cruz Richard Dazeley Peter Vamplew Cameron Foale 22 18 0 21 Sep 2020
A Conceptual Framework for Externally-influenced Agents: An Assisted Reinforcement Learning Review Adam Bignold Francisco Cruz Matthew E. Taylor Tim Brys Richard Dazeley Peter Vamplew Cameron Foale 20 28 0 03 Jul 2020
Deep Reinforcement Learning for Dialogue Generation Jiwei Li Will Monroe Alan Ritter Michel Galley Jianfeng Gao Dan Jurafsky 214 1,327 0 05 Jun 2016